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Paper detail

Recommender Systems for Configuration Knowledge Engineering

The knowledge engineering bottleneck is still a major challenge in configurator projects. In this paper we show how recommender systems can support knowledge base development and maintenance processes. We discuss a couple of scenarios for the application of recommender systems in knowledge engineering and report the results of empirical studies which show the importance of user-centered configuration knowledge organization.

preprint2021arXivOpen access
Alexander FelfernigStefan ReitererMartin StettingerFlorian ReinfrankMichael JeranGerald Ninaus
Information RetrievalArtificial Intelligence
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Alexander FelfernigStefan ReitererMartin StettingerFlorian ReinfrankMichael JeranGerald Ninaus

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